Genetic algorithm and extended analysis optimisation techniques for switched capacitor active filters —Comparative study

Abstract

The proliferation of nonlinear loads has led to considerable interest in the development of active filters designed to eliminate current harmonics from power supply networks. The switched capacitor family of active filters developed at Brunel University is examined, highlighting the complexity of the control technique which limits the effectiveness of these filters. Two different approaches are investigated with the aim of reducing the computational requirements associated with the control technique, and hence increasing the applicability of the switched capacitor active filters. The approach presented eases the somewhat laborious but unavoidable computational requirements. Genetic algorithms (GAs) and extended analysis (EA) are investigated, and provide an alternative to the calculus-based techniques which historically have dominated optimisation problems.